钟南山：医学AI要靠更多机构的协作，产学研是关键

Core Viewpoint - Medical AI is essential and requires collaboration among multiple institutions rather than individual efforts, emphasizing the importance of industry-academia-research integration for effective implementation [1][2]. Group 1: Medical AI Development - The first Greater Bay Area Medical Artificial Intelligence Conference highlighted the potential of medical AI due to vast industry data and urgent public health needs [2]. - AI cannot replace doctors, as understanding patients' emotional and psychological needs is crucial, which AI cannot analyze [2]. - The uneven distribution of medical resources in China necessitates innovative solutions through new information technologies [2][3]. Group 2: Initiatives for Medical AI - Three key initiatives were proposed: 1. Create a leading national high-quality dataset to empower diagnosis, public health, and new drug development [3]. 2. Accelerate the construction of medical data infrastructure to link comprehensive data resources [3]. 3. Establish an "AI + Healthcare" innovation circle in the Guangdong-Hong Kong-Macao Greater Bay Area to optimize data management and promote data compliance [3]. Group 3: Collaboration and Innovation - There is a call for high-level medical institutions, research institutes, and technology companies to engage in the innovation practices of medical AI in the Greater Bay Area [5].